Pedestrian detection is highly related to object detection. It deals with locating and recognizing instances of pedestrians' specific class, usually in images of urban environments, without considering group dynamics. We can subdivide approaches for the pedestrian detection task into two main research areas. The first class of detectors is based on handcrafted features, such as ICF (Integral Channel Features) [1]}, [2]}, [3]}, [4]}, [5]}. These methods can usually rely on higher computational efficiency at the cost of lower accuracy. On the other hand, more recently, Deep Neural Network approaches have been explored. For example, [6]}, [7]}, [8]} proposed some solutions based on the cnn networks to detect pedestrians, even accounting for different scales.
